TYP: update supported Mypy version from 1.0.0 to 1.10.0

.github/workflows/linux.yml

@@ -118,7 +118,7 @@ jobs:
       if: matrix.python-version == '3.10'
       run: |
         # Packages that are only needed for their annotations
-        python -m pip install mypy==1.0.0 types-psutil typing_extensions
+        python -m pip install mypy==1.10.0 types-psutil typing_extensions
         python -m pip install pybind11 sphinx
 
         python -u dev.py mypy

pyproject.toml

@@ -98,7 +98,7 @@ doc = [
     "jupyterlite-pyodide-kernel",
 ]
 dev = [
-    "mypy",
+    "mypy==1.10.0",
     "typing_extensions",
     "types-psutil",
     "pycodestyle",

requirements/dev.txt

@@ -1,6 +1,6 @@
 # Generated via tools/generate_requirements.py.
 # Do not edit this file; modify `pyproject.toml` instead and run `python tools/generate_requirements.py`.
-mypy
+mypy==1.10.0
 typing_extensions
 types-psutil
 pycodestyle

scipy/_lib/_testutils.py

@@ -17,8 +17,8 @@
 
 try:
     # Need type: ignore[import-untyped] for mypy >= 1.6
-    import cython  # type: ignore[import]
-    from Cython.Compiler.Version import (  # type: ignore[import]
+    import cython  # type: ignore[import-untyped]
+    from Cython.Compiler.Version import (  # type: ignore[import-untyped]
         version as cython_version,
     )
 except ImportError:

scipy/conftest.py

@@ -116,15 +116,15 @@ def check_fpu_mode(request):
         pass
 
     try:
-        import torch  # type: ignore[import]
+        import torch  # type: ignore[import-not-found]
         xp_available_backends.update({'pytorch': torch})
         # can use `mps` or `cpu`
         torch.set_default_device(SCIPY_DEVICE)
     except ImportError:
         pass
 
     try:
-        import cupy  # type: ignore[import]
+        import cupy  # type: ignore[import-not-found]
         xp_available_backends.update({'cupy': cupy})
     except ImportError:
         pass

scipy/optimize/_milp.py

@@ -2,7 +2,7 @@
 import numpy as np
 from scipy.sparse import csc_array, vstack, issparse
 from scipy._lib._util import VisibleDeprecationWarning
-from ._highs._highs_wrapper import _highs_wrapper  # type: ignore[import]
+from ._highs._highs_wrapper import _highs_wrapper  # type: ignore[import-not-found]
 from ._constraints import LinearConstraint, Bounds
 from ._optimize import OptimizeResult
 from ._linprog_highs import _highs_to_scipy_status_message

scipy/spatial/_ckdtree.pyi

@@ -73,7 +73,7 @@ class cKDTree(Generic[_BoxType]):
     # The latter gives us more flexibility in setting the generic parameter
     # though.
     @overload
-    def __new__(  # type: ignore[misc]
+    def __new__(  # type: ignore[overload-overlap]
         cls,
         data: npt.ArrayLike,
         leafsize: int = ...,
@@ -127,7 +127,7 @@ class cKDTree(Generic[_BoxType]):
     ) -> list[list[int]]: ...
 
     @overload
-    def query_pairs(  # type: ignore[misc]
+    def query_pairs(  # type: ignore[overload-overlap]
         self,
         r: float,
         p: float = ...,
@@ -144,7 +144,7 @@ class cKDTree(Generic[_BoxType]):
     ) -> npt.NDArray[np.intp]: ...
 
     @overload
-    def count_neighbors(  # type: ignore[misc]
+    def count_neighbors(  # type: ignore[overload-overlap]
         self,
         other: cKDTree,
         r: _ArrayLike0D,
@@ -153,7 +153,7 @@ class cKDTree(Generic[_BoxType]):
         cumulative: bool = ...,
     ) -> int: ...
     @overload
-    def count_neighbors(  # type: ignore[misc]
+    def count_neighbors(  # type: ignore[overload-overlap]
         self,
         other: cKDTree,
         r: _ArrayLike0D,
@@ -162,7 +162,7 @@ class cKDTree(Generic[_BoxType]):
         cumulative: bool = ...,
     ) -> np.float64: ...
     @overload
-    def count_neighbors(  # type: ignore[misc]
+    def count_neighbors(  # type: ignore[overload-overlap]
         self,
         other: cKDTree,
         r: npt.ArrayLike,
@@ -181,23 +181,23 @@ class cKDTree(Generic[_BoxType]):
     ) -> npt.NDArray[np.float64]: ...
 
     @overload
-    def sparse_distance_matrix(  # type: ignore[misc]
+    def sparse_distance_matrix(  # type: ignore[overload-overlap]
         self,
         other: cKDTree,
         max_distance: float,
         p: float = ...,
         output_type: Literal["dok_matrix"] = ...,
     ) -> dok_matrix: ...
     @overload
-    def sparse_distance_matrix(  # type: ignore[misc]
+    def sparse_distance_matrix(  # type: ignore[overload-overlap]
         self,
         other: cKDTree,
         max_distance: float,
         p: float = ...,
         output_type: Literal["coo_matrix"] = ...,
     ) -> coo_matrix: ...
     @overload
-    def sparse_distance_matrix(  # type: ignore[misc]
+    def sparse_distance_matrix(  # type: ignore[overload-overlap]
         self,
         other: cKDTree,
         max_distance: float,

scipy/special/_orthogonal.pyi

@@ -288,7 +288,7 @@ class orthopoly1d(np.poly1d):
     @overload
     def __call__(self, x: _ArrayLike0D) -> Any: ...
     @overload
-    def __call__(self, x: np.poly1d) -> np.poly1d: ...  # type: ignore[misc]
+    def __call__(self, x: np.poly1d) -> np.poly1d: ...  # type: ignore[overload-overlap]
     @overload
     def __call__(self, x: np.typing.ArrayLike) -> np.ndarray: ...
 

scipy/special/_support_alternative_backends.py

@@ -21,7 +21,7 @@ def get_array_special_func(f_name, xp, n_array_args):
     elif is_torch(xp):
         f = getattr(xp.special, f_name, None)
     elif is_cupy(xp):
-        import cupyx  # type: ignore[import]
+        import cupyx  # type: ignore[import-not-found]
         f = getattr(cupyx.scipy.special, f_name, None)
     elif xp.__name__ == f"{array_api_compat_prefix}.jax":
         f = getattr(xp.scipy.special, f_name, None)

scipy/stats/_qmc.py

@@ -668,7 +668,7 @@ def n_primes(n: IntNumber) -> list[int]:
               677, 683, 691, 701, 709, 719, 727, 733, 739, 743, 751, 757, 761,
               769, 773, 787, 797, 809, 811, 821, 823, 827, 829, 839, 853, 857,
               859, 863, 877, 881, 883, 887, 907, 911, 919, 929, 937, 941, 947,
-              953, 967, 971, 977, 983, 991, 997][:n]  # type: ignore[misc]
+              953, 967, 971, 977, 983, 991, 997][:n]
 
     if len(primes) < n:
         big_number = 2000
@@ -1508,7 +1508,7 @@ def _random_oa_lhs(self, n: IntNumber = 4) -> np.ndarray:
 
         oa_lhs_sample /= p
 
-        return oa_lhs_sample[:, :self.d]  # type: ignore
+        return oa_lhs_sample[:, :self.d]
 
 
 class Sobol(QMCEngine):
@@ -1767,7 +1767,7 @@ def _random(
                 )
                 sample = np.concatenate(
                     [self._first_point, sample]
-                )[:n]  # type: ignore[misc]
+                )[:n]
         else:
             _draw(
                 n=n, num_gen=self.num_generated - 1, dim=self.d,

scipy/stats/_unuran/unuran_wrapper.pyi

@@ -18,7 +18,7 @@ class UNURANError(RuntimeError):
 
 class Method:
     @overload
-    def rvs(self, size: None = ...) -> float | int: ...  # type: ignore[misc]
+    def rvs(self, size: None = ...) -> float | int: ...  # type: ignore[overload-overlap]
     @overload
     def rvs(self, size: int | tuple[int, ...] = ...) -> np.ndarray: ...
     def set_random_state(self, random_state: SeedType) -> None: ...
@@ -50,7 +50,7 @@ class TransformedDensityRejection(Method):
     @property
     def squeeze_area(self) -> float: ...
     @overload
-    def ppf_hat(self, u: ArrayLike0D) -> float: ...  # type: ignore[misc]
+    def ppf_hat(self, u: ArrayLike0D) -> float: ...  # type: ignore[overload-overlap]
     @overload
     def ppf_hat(self, u: npt.ArrayLike) -> np.ndarray: ...
 
@@ -99,11 +99,11 @@ class NumericalInversePolynomial(Method):
     @property
     def intervals(self) -> int: ...
     @overload
-    def ppf(self, u: ArrayLike0D) -> float: ...  # type: ignore[misc]
+    def ppf(self, u: ArrayLike0D) -> float: ...  # type: ignore[overload-overlap]
     @overload
     def ppf(self, u: npt.ArrayLike) -> np.ndarray: ...
     @overload
-    def cdf(self, x: ArrayLike0D) -> float: ...  # type: ignore[misc]
+    def cdf(self, x: ArrayLike0D) -> float: ...  # type: ignore[overload-overlap]
     @overload
     def cdf(self, x: npt.ArrayLike) -> np.ndarray: ...
     def u_error(self, sample_size: int = ...) -> UError: ...
@@ -135,7 +135,7 @@ class NumericalInverseHermite(Method):
     @property
     def intervals(self) -> int: ...
     @overload
-    def ppf(self, u: ArrayLike0D) -> float: ...  # type: ignore[misc]
+    def ppf(self, u: ArrayLike0D) -> float: ...  # type: ignore[overload-overlap]
     @overload
     def ppf(self, u: npt.ArrayLike) -> np.ndarray: ...
     def qrvs(self,
@@ -174,6 +174,6 @@ class DiscreteGuideTable(Method):
                  guide_factor: float = ...,
                  random_state: SeedType = ...) -> None: ...
     @overload
-    def ppf(self, u: ArrayLike0D) -> float: ...  # type: ignore[misc]
+    def ppf(self, u: ArrayLike0D) -> float: ...  # type: ignore[overload-overlap]
     @overload
     def ppf(self, u: npt.ArrayLike) -> np.ndarray: ...